TW201917652A - Method and data collection and profit-distributing system for big data commodity customization and data provider, computer readable recording media and computer program product for collecting transaction information and generating big data commodities - Google Patents

Abstract

Provided is a profit-distributing method for big data commodity customization and data provider, which is applied to a data collection and profit-distributing system. The method includes the steps of: using an equity calculation module to receive one of the consumption microdata sent from a user terminal, verify whether the consumption microdata conforms to one of the specific data formats, and store the same in a personal microdata account; using the equity calculation module to classify the consumption microdata according to a preset classification code, and store the same in a central data database of the data collection and profit-distributing system; using the equity calculation module to evaluate the consumption microdata for giving an equity value, and store the equity value in a personal equity account of a supplier equity profit-distributing module of the data collection and profit-distributing system.

Description

 Method and data collection and distribution system for big data commodity customization and data provider separation, computer readable recording media and computer program products  

The invention relates to the technical field of computer information, in particular to a method for data customization and data provider separation and data collection and distribution system, computer readable recording medium and computer program product.

In recent years, in order to comply with the big data commodity market trends and the commercial profit-making models derived from them, the advanced countries in the global information industry have devoted enormous resources to researching data collection and analysis techniques to profit from the production of various large data commodities. The commodity trading market dominates.

The traditional method of producing big data commodities is based on the fact that the business operators have accumulated a large amount of historical transaction data. Business operators with such large amounts of historical transaction data either operate on their own large historical transaction data to produce big data commodities, or provide large amounts of historical transaction data to big data commodity producers for calculation. Under the above circumstances, the development of prior art includes the evolution of computing technologies and related technologies for the purpose of manufacturing large data commodities or improving references for other products developed by existing databases. For example, the Republic of China invention patent announcement The "Data Processing System and Method" of No. I303371 is the focus of the invention in parallel with other operating procedures. The "Visual Data Analysis System and Operation Method of Data Supermarket" of the Republic of China Invention Patent No. I554959 focuses on the data analysis mechanism.

On the technical level, the basic assumptions underlying the big data commodity exchanges and the technologies developed on the basis of this basic assumption are mostly based on the business operators' access to consumer transaction information (hereinafter referred to as the following). The "microdata"), which is then aggregated into a database and its applications, becomes the target of interest and research.

As mentioned above, conventional big data products are composed of thousands of microdata, but the niche of a single microdata as a commodity element is too weak to have commercial value, under the inherent disadvantageous conditions, a single consumer It is impossible to trade with microdata and enter the big data commodity market, that is, the traders of the existing big data commodity trading market essentially exclude a single consumer.

Therefore, both the supply and demand sides of the existing big data commodity market are mostly enterprises, and the big data products based on microdata are widely used to make profits, but the individual consumers who use microdata as the elements of big data products are the products of single micro data. The value may be minimal, unless big data users actively give back, it can be said that they can't profit from the microdata they own.

As far as equity considerations are concerned, prior art uses only the data in the existing database, and only discusses the interests of the business operators, that is, the data holders. In the era of huge data, strengthening the respect for the individual rights of users is the trend of the times. The trend. The personal data protection legal system can only provide an after-the-fact relief channel when the consumer's personal data is illegally used, resulting in illegal rights violations, but it cannot give consumers the specific economic benefits of using the income personal data.

In view of the above problems, the object of the present invention is to provide a method for data customization and data provider separation, a data collection and distribution system, a computer readable recording medium and a computer program product, and the consumer can independently Contribute to microdata, aggregate large amounts of microdata, accumulate a large amount of data to generate big data commodities, obtain seller status, participate in big data commodity market activities and profit from it.

Another object of the present invention is that the user can actively provide the dimensional data after agreeing to authorize and authorize the use of the provided microdata to generate big data commodities, so that the provided microdata has the legal source of the largest data commodity element.

A further object of the present invention is to generate a data database of different types of micro-databases created by different types of consumers of different types of consumption, in order to meet the purpose of customization of big data products, to arrange and combine to meet the purpose. Various types of big data products.

The first aspect of the present invention provides a method for customizing big data products and distributing data providers, which is applied to a data collection and distribution system, the method comprising the following steps: collecting and distributing the data by the data One of the management modules receives a data purchase request sent from a user terminal, and sends a data purchase and sale screen data to the user terminal according to the data purchase and sale request; the governance module receives the user terminal from the user terminal Sending a data request request, sending a micro data providing screen data to the user terminal according to the selling data request; receiving, by the user computing terminal, an equity computing module of the data collecting and distributing system One of the consumption microdata, verifying whether the consumer microdata conforms to one of the prescribed data data formats, and storing the consumer microdata in a personal microdata account of one of the data collection and management systems of the data collection and distribution system; The equity calculation module classifies the verified consumption micro data according to a predetermined classification code, and classifies the consumption micro data. a data sub-database of the corresponding classified micro-data stored in a plurality of data sub-libraries of the central data database of the data collection and distribution system; and the consumption micro-data is performed by the equity calculation module The evaluation gives an equity value and stores the equity value in one of the personal equity accounts of the supplier equity distribution module of the data collection and distribution system.

The second aspect of the present invention provides a method for customizing big data products and distributing data providers, which is applied to a data collection and distribution system, the method comprising the following steps: collecting and distributing the data by the data One of the management modules receives a purchase data request sent from a user terminal, and sends a large data commodity demand screen data to the user terminal according to the purchase data request; one of the data collection and distribution systems The big data evaluation module receives one of the commodity feedback condition data sent by the user terminal, and searches for one of the data collection bases of the data collection and distribution system that meets the consumption microdata of the commodity feedback condition data, and Calculating the number of the consumption microdata corresponding to the large data commodity, and evaluating the value of the big data commodity according to the number of the consumer microdata to obtain a large data value amount, and the number of the big data commodity And the value amount is sent to the user terminal; a payment completion message is transmitted by the financial management module of the data collection and distribution system to the large According to the valuation module, the big data evaluation module transmits the big data commodity to the big data tabulation module of the data collection and distribution system according to the payment completion message; The data of the data commodity is made into a commodity analysis spreadsheet and a commodity analysis chart, and the commodity analysis spreadsheet and the commodity analysis chart are sent to the user terminal; and the big data evaluation module is based on the evaluation The data value amount is calculated as one of the consumption equity values obtained by the consumption micro data of the big data commodity, and is transmitted to one of the corresponding consumer microdata of the supplier equity distribution module of the data collection and distribution system. Equity account.

The third aspect of the present invention provides a data collection and distribution system, which includes a governance module, an equity calculation module, a central data database, a large data evaluation module, and a supplier equity distribution model. The group, a financial management module and a large data tabulation module, the data collection and distribution system implements a method of customizing big data products and distributing data providers according to the first aspect or the second aspect.

The fourth aspect of the present invention provides a computer readable recording medium storing a program. When a data collection and distribution system is loaded into the program and executed, the first aspect or the first aspect of the present invention can be completed. A two-state approach to the customization of big data products and the distribution of data providers.

The fifth aspect of the present invention provides a computer program product for storing a program. When a data collection and distribution system is loaded into the program and executed, the first aspect or the second aspect of the present invention can be completed. The method of customizing big data products and diversifying data providers.

10‧‧‧User terminal

12‧‧‧ display device

14‧‧‧ Input device

20‧‧‧Data collection and distribution system

22‧‧‧Governance module

24‧‧‧ Big Data Valuation Module

26‧‧‧Financial Management Module

28‧‧‧Supplier equity distribution module

30‧‧‧Equity Computing Module

32‧‧‧Microdata collection management module

34‧‧‧ Big Data Tabulation Module

36‧‧‧Member Database

38‧‧‧Central Data Database

40‧‧‧Data base

42‧‧‧Data base

44‧‧‧Data base

1 is a block diagram of a data collection and distribution system and a user terminal of the present invention; FIG. 2 is a flow chart of a new member joining the present invention; FIG. 3 is a member of the data collection and distribution system 20 of the present invention; 4A and 4B are the member terms screen of the present invention; FIG. 5 is a member registration screen of the present invention; FIG. 6 is a registration success notification screen of the present invention; FIG. 7 is a customized data and data of the big data product of the present invention; FIG. 8 is a member login screen of the present invention; FIG. 9 is a data downloading/selling data screen of the present invention; FIG. 10 is a micro data providing screen of the present invention; Selecting a selection screen for transmitting the consumption micro data mode; FIG. 12 is a screen of the camera of the user terminal of the present invention

13 is a screen of a consumer type of the present invention; FIG. 14 is a screen of a personal rights account of the present invention; FIG. 15 is a screen of a big data product demand of the present invention; 17 is a special request for big data product screen of the present invention; FIG. 18 is an order quotation notification screen of the present invention; FIG. 19 is an order content screen of the present invention; FIG. 20 is a payment screen of the present invention; Schematic diagram of the trial balance; and Fig. 22 is a schematic diagram of the commodity analysis chart of the present invention.

The present invention will be further understood by those of ordinary skill in the art to which the present invention pertains. .

1 is a block diagram of a data collection and distribution system and a user terminal of the present invention. In FIG. 1, a user terminal 10 includes a display device 12 and an input device 14. However, the user terminal 10 also includes hardware components such as a processing unit, an interface transfer unit, a storage device, and the like, which are not shown. Work together. The user terminal 10 can be a computer, a tablet or a smart phone.

A data collection and distribution system 20 includes a governance module 22, a large data valuation module 24, a financial management module 26, a supplier equity distribution module 28, an equity calculation module 30, and a microdata. The collection management module 32, the large data tabulation module 34, a member database 36, and a central data repository 38 are provided. The central data database 38 includes a plurality of data sub-libraries 40, 42, 44, wherein the data sub-libraries 40, 42, 44 are, for example, data sub-libraries for beverages, data sub-libraries for clothing, and data sub-libraries for electronic products. The data base of the medical service, the data sub-library of the transportation, or the data sub-library of the beauty salon, etc., the data sub-library in the present invention is not limited to three data sub-libraries, and any number can be set according to requirements. Data library.

The data collection and distribution system 20 also includes hardware components such as an interface transmission unit, an input device, and a display device that are not shown to cooperate, and each module in the data collection and distribution system 20 can be soft and hard. The process steps of a method for performing the customization of the big data product of the present invention and the distribution of the data provider by the body or the firmware.

The user inputs a new member join request, an authorization message, a member profile, a data purchase request, a sell data request, and a purchase data request to the input device 14 of the user terminal 10, and the user terminal 10 transmits the new one. The member join request, the authorization message, the member profile, the data purchase request, the sell data request, the purchase data request, and the governance module 22 of the data collection and distribution system 20.

The governance module 22 sends a member term screen information, a member registration screen data, a data purchase and sale screen data, a micro according to the new member joining request, the authorization message, the data buying and selling request, the selling data request, the buying data request. The data providing screen data and the large data product demand screen data are sent to the user terminal 10, and the user terminal 10 receives the member term screen data, the member registration screen data, the data trading screen data, the micro data providing screen data, and the big data product. The demand screen data, the product analysis trial balance table, and the product analysis chart display a member term screen, a member registration screen, a data purchase screen, a micro data providing screen, and a big data product demand screen on the display device 12.

The management module 22 receives the member data sent from the user terminal 10 and verifies whether the member data input by the user conforms to the specified format. If the member information input by the user does not conform to the prescribed format, the input module If the member information is incorrect or missing, the management module 22 sends an error message to the user terminal 10, and the display device 12 of the user terminal 10 displays the error message and instructs the user to input the correct member profile; The entered member information conforms to the prescribed format, and the governance module 22 compiles the member number corresponding to the member information, and stores the member number and the corresponding member data in the member database 36 of the data collection and distribution system 20. Among them, the member information includes name, date of birth, identity card number, gender, address, mobile phone number and email account number.

The equity calculation module 30 of the data collection and distribution system 20 receives one of the consumption microdata sent from the user terminal 10 and verifies whether the consumer microdata input by the user conforms to one of the specified data data formats, if the user If the entered member data does not conform to the specified data format, that is, if the entered consumption micro data is incorrect or missing, the equity calculation module 30 sends an error message to the user terminal 10, and is displayed by the user terminal 10. The device 12 displays the error message and instructs the user to input the correct consumption micro data. If the consumption micro data entered by the user conforms to the specified data data format, the equity calculation module 30 stores the consumption micro data in the micro data collection management module. 32 in one personal microdata account. The consumer microdata sent from the user terminal 10 is sent in a data format or a photo file, and the consumption microdata includes a plurality of consumption time, a consumption location, a consumption type, a consumption content, a consumption amount, and a consumption amount. All.

The equity calculation module 30 classifies the verified consumption microdata according to a predetermined classification code, and stores the classified consumption microdata in the data repository 40, 42 of the central data repository 38 of the data collection and distribution system 20. And a data sub-library of the classified categories of the consumption microdata in 44, for example, a data sub-library of a beverage type, a data sub-library of a clothing type, a data sub-library of an electronic type, and a data sub-library of a medical service. , data collection of transportation or data storage of beauty salons. The predetermined classification code is a Harmonized System Code (HS code) or a Standard Classification of the Republic of China code (CCC code).

The equity calculation module 30 evaluates the consumption micro data to give an equity value (for example, a bonus point or a cash equivalent point), and stores the equity value in the supplier equity distribution module of the data collection and distribution system 20 In one of the personal equity accounts, the personal equity account corresponds to the account of the user who provided the consumption microdata.

The big data evaluation module 24 receives the product feedback condition data sent from the user terminal 10, such as the consumption feedback condition data of the consumption area, the number of consumers, the consumption type, the consumption amount, the consumption age, or the consumption gender, and searches for the central information. Each of the consumption microdata in the data database that meets the feedback condition data of the commodity temporarily stores each of the consumption microdata that meets the requirements in an offer file, and calculates the number of consumption microdata of the large data commodity that meets the requirements, according to The number of consumer microdata is used to evaluate the value of the big data commodity to obtain a large data value amount, and the big data valuation module 24 sends the number and value amount of the big data commodity to the user terminal 10 for display. The device 12 displays the number and value of the big data item for viewing by the user.

When the financial management module 26 receives a payment notification for the amount of the big data value that the user has paid, the financial management module 26 transmits a payment completion message to the big data valuation module 24, and the big data valuation module 24 is based on the payment. The message delivery big data item is completed to the big data tabulation module 34. The big data tabulation module 34 creates each commodity data of each of the consumption microdata of the big data commodity in the offer file into a commodity analysis trial calculation table and a commodity analysis chart, and sends the commodity analysis trial calculation table and the commodity analysis chart to use. The terminal device 10 displays the product analysis spreadsheet and the product analysis chart on the display device 12 for analysis by the user.

The big data valuation module 24 calculates, according to the value of the big data value evaluated, a share of the share value obtained by each of the consumption micro data of the big data commodity, and stores the share value of the share into the supplier equity share model. Group 28 is provided in the corresponding personal equity account of each user who consumes the microdata.

The following description of the embodiments, the flow, and the specific embodiments of the present invention are described in detail; the description includes the specific purpose of the present invention, and the system architecture and the method, the steps and the sequence thereof. Wait.

Figure 2 is a flow chart showing the joining of new members of the present invention. In FIG. 2, when the user wants to profit from the consumption microdata generated by his own consumption, to join the data collection and distribution system 20 as a member, the display device 12 of the user terminal 10 displays the data collection. And the application of the member of the distribution system 20 or the login to the webpage, as shown in FIG. 3 is a screen of the member of the present invention joining the data collection and distribution system 20.

The user inputs the join data collection and distribution system 20 at the input device 14 of the user terminal 10 to become a new member join request, and the user terminal 10 issues the new member join request to the data collection and distribution system. The governance module 22 of 20 (step S50).

After receiving the new member joining request sent by the user terminal 10, the governance module 22 sends a member term screen information to the user terminal 10 of the user applying for the member according to the new member joining request.

After the user terminal 10 receives the member term screen information, the member device screen is displayed by the display device 12, as shown in the member terms screen of the present invention, as shown in FIGS. 4A and 4B. The user views the items specified in the membership terms in the member terms screen of FIG. 4A. When agreeing to the items specified in the member terms, the user selects the option "I am sure to become a member" by inputting the device 14 in FIG. 4B. An authorization message is sent by the user terminal 10 to the governance module 22 (step S52).

After receiving the authorization message sent by the user terminal 10, the management module 22 sends a member registration screen data to the user terminal 10 of the user who applied for the member according to the authorization message.

After the user terminal device 10 receives the member registration screen data, the member registration screen is displayed by the display device 12, as shown in FIG. 5, which is shown in the member registration screen of the present invention. The user inputs the member information such as the date of birth, the ID number and the password by the input device 14 according to the item displayed on the member registration screen, and can input the name, gender, address, mobile phone number, email account, etc. according to actual needs. member profile. The user terminal device 10 transmits the member information input by the user in accordance with the item displayed on the member registration screen to the management module 22 (step S54).

The management module 22 receives the member data sent from the user terminal 10 and verifies whether the member data input by the user conforms to the specified format. If the member information input by the user does not conform to the prescribed format, the input module If the member information is incorrect or missing, the management module 22 sends an error message to the user terminal 10 of the user who applied for the member, and the display device 12 of the user terminal 10 displays the error message and instructs the user to input the correct one. Member information; if the member information entered by the user conforms to the prescribed format, the governance module 22 compiles the member number corresponding to the member information, and stores the member number and its corresponding member data in the data collection and distribution system 20 Member database 36 (step S56).

Then, the registration success notification screen data is sent by the management module 22 to the user terminal device 10. After receiving the registration success notification screen data, the user terminal device 10 displays the registration success notification screen by the display device 12, as shown in FIG. 6 on the registration success notification screen of the present invention, to inform the user to complete the member registration procedure.

7 is a flow chart of a method for customizing big data products and distributing data providers according to the present invention. In FIG. 7, after the user becomes a member of the data collection and distribution system 20, the user enters the data collection and distribution system 20 by the user terminal 10, and the management module 22 of the data collection and distribution system 20 Send a member login screen information to the user terminal 10 of the user who applied for the member.

After receiving the member login screen data, the user terminal device 10 displays the member login screen by the display device 12, as shown in FIG. 8 as shown in the member login screen of the present invention. The user inputs an account number and password through the input device 14 of the user terminal device 10, and the user terminal device 10 transmits the entered account number and password to the data collection and distribution system 20. The management module 22 of the data collection and distribution system 20 verifies that the account and password input by the user are correct. When the account and password entered by the user are correct, the data collection and distribution system 20 allows the user to perform subsequent purchases. Data or a program to sell data.

When the user wants to perform the process of buying data or selling data, the user sends a purchase data/sell data request to the data collection and distribution system 20 by the user terminal 10, and the data collection and distribution system 20 is managed. The group 22 transmits a purchase and sale data screen data to the user terminal 10 of the user who purchases the data or sells the data based on the purchase data/sale data request. The user terminal 10 receives the purchase and sale data screen data and displays a purchase and sale data screen on the display device 12, as shown in Fig. 9 of the purchase data/sale data screen of the present invention (step S60).

When the user wants to provide the micro data to the data collection and distribution system 20 for sale as a big data product, the user displays the display device 12 by the input device 14 of the user terminal 10. Clicking on the "sell data" option on the purchase and sale data screen, and the user terminal 10 sends a sell data request to the data collection and distribution system 20.

After the processing device 22 of the data collecting and distributing system 20 receives the request for selling data sent from the user terminal 10, the processing module 22 sends a microdata providing screen data to the user who sells the data according to the selling data request. User terminal 10. After receiving the microdata providing screen data, the user terminal device 10 displays the micro data providing screen by the display device 12, as shown in FIG. 10 on the micro data providing screen of the present invention (step S62).

The user inputs a plurality of or all of the consumption time, the consumption location, the consumption type, the consumption content, the consumption amount, and the consumption amount on the micro data providing screen displayed on the display device 12 by the input device 14 of the user terminal device 10. One of the consumption microdata, the user terminal 10 sends the consumption micro data of the input time, the consumption location, the consumption type, the consumption content, the consumption amount and the consumption quantity to the data collection and distribution System 20.

Figure 11 is a selection screen of a selection mode of the present invention, and Figure 12 is a screen of the camera of the user terminal of the present invention. The consumption microdata sent from the user terminal 10 may be a data format or a photo file transmission, and the user terminal 10 displays the selection screen data sent by the data collection and distribution system 20 on the display device 12 as shown in FIG. In the selection screen, when the user selects the option of "consumer detail photo upload" by the input device 14, the display device 12 displays a screen as shown in FIG. 12, and the user uses the lens of the user terminal 10 and the photographing function. The consumer details are photographed to be stored in the user terminal 10, and the user terminal 10 can transmit the photo details of the purchase details to the data collection and distribution system 20 as the consumption microdata.

The equity calculation module 30 of the data collection and distribution system 20 receives the above-mentioned consumption microdata sent from the user terminal 10, and verifies whether the consumer microdata input by the user conforms to one of the prescribed data data formats, if used The member information entered by the user does not meet the prescribed data format, that is, if the input consumption micro data is incorrect or missing, the equity calculation module 30 sends an error message to the user terminal 10 of the user who sends the consumption micro data. The display device 12 of the user terminal 10 displays the error message and instructs the user to input the correct consumption microdata; if the consumer microdata input by the user conforms to the prescribed data data format, the equity calculation module 30 stores the consumption. The microdata is in a personal microdata account of one of the micro data collection management modules 32 (step S64). Among them, the personal microdata account is an account corresponding to the user who consumes the micro data.

The consumer computing module 30 displays, for example, a consumer type in the verified consumption microdata according to one of the predetermined classification codes, such as the International Commodity Unified Classification Code or the Republic of China Commodity Standard Classification Number (the user can display the display on the display device 12 as shown in the figure 13 is to sort the picture shown in the picture of the consumption mode of the present invention or to classify the consumption content, and store the classified consumption micro data in the data repository of the central data database 38 of the data collection and distribution system 20. 40, 42, 44 of a data sub-library corresponding to the classified category of the consumption microdata, for example, a data sub-library of beverages, a data sub-library of clothing, a data sub-library of electronic data, and a medical service The data sub-library, the data sub-library of transportation or the data sub-library of the beauty salon, etc. (step S66).

The equity calculation module 30 evaluates the consumption microdata provided by the user to give an equity value (for example, bonus points or cash equivalent points), and stores the equity value in the data collection and distribution system 20 supply. In one of the personal equity accounts of the equity distribution module 28, the personal equity account corresponds to the account of the user who provides the consumption microdata (step S68).

When the user completes the provision of the microdata to the data collection and distribution system 20, the user can check the amount of the equity generated by the microdata provided by the user, or consult the equity value accumulated by providing the microdata multiple times, and the user borrows The user terminal 10 sends an equity value review request to the data collection and distribution system 20, and the supplier equity distribution module 28 of the data collection and distribution system 20 sends a personal equity account screen information according to the equity value review request. The user terminal 10 of the user who views the equity value.

After receiving the personal equity account screen information by the user terminal device 10, the personal rights account notification screen is displayed by the display device 12, as shown in FIG. 14 is the personal rights account screen of the present invention, and the user is displayed on the display device 12. The equity account screen is used to check the equity value generated each time the microdata is provided.

When the user wants to purchase the big data product, the user selects the "buy data" option on the purchase and sale data screen of FIG. 9 displayed on the display device 12 by the input device 14 of the user terminal device 10, and the user The terminal 10 sends a buy data request to the data collection and distribution system 20.

After the management device 22 of the data collection and distribution system 20 receives the purchase data request sent from the user terminal 10, the management module 22 sends a large data commodity demand screen data to the purchase data according to the purchase data request. User terminal 10 of the user. When the user terminal device 10 receives the big data product demand screen data, the display device 12 displays the big data product demand screen, as shown in FIG. 15 for the big data product demand screen of the present invention (step S70).

The user inputs an item feedback condition data on the big data item demand screen displayed on the display device 12 by the input device 14 of the user terminal device 10, for example, inputting the consumption area, the number of consumers, the type of consumption, the amount of consumption, the age of consumption, or When the user selects the option of "please quote" by the input device 14 on the big data product demand screen displayed on the display device 12, the user terminal 10 inputs one of the inputs. The quotation request and the product feedback condition data are sent to the data collection and distribution system 20.

The big data evaluation module 24 receives the quotation request and the product feedback condition data sent from the user terminal 10, and the big data evaluation module 24 searches the central data database 38 for each data sub-library 40, 42, 44. Each of the consumption microdata of the commodity feedback condition data temporarily stores each consumption microdata conforming to an offer file, and calculates the number of consumption microdata of the large data commodity that meets the requirements, and the pen according to the consumption microdata The number is evaluated to evaluate the value of the big data item to obtain a large data value amount (step S72).

When the number of sales microdata that matches the commodity feedback condition data in the central data repository 38 is too small or not, the big data evaluation module 24 sends a search result that does not meet the demand data. The screen data is to the user terminal 10 of the user who purchased the data.

After the user terminal 10 receives the search result and does not meet the demand data screen data, the display device 12 displays the search result non-matching demand data screen, as shown in FIG. 16 for the search result non-matching demand data screen of the present invention.

When the user decides to search for the same product feedback condition data again, the user selects the "try again" option on the search result displayed by the display device 12 by the input device 14 of the user terminal device 10. The user terminal 10 sends a retry request to the data collection and distribution system 20. After the data collection and distribution system 20 receives the retry request sent from the user terminal 10, the data collection and distribution system 20 performs step S72 again.

However, in the case where the number of consumer microdata corresponding to the product feedback condition data is too small or not, the data collection and distribution system 20 provides a special solicitation function for the user who purchases the data, and the function is as follows.

When the user decides the function of the special solicitation, the user selects the "I want special request" option by the input device 14 of the user terminal device 10 on the search result display data displayed on the display device 12. A special solicitation request is sent by the user terminal 10 to the big data valuation module 24.

After the big data evaluation module 24 receives the special solicitation request sent from the user terminal 10, the big data evaluation module 24 issues a user terminal 10 that specifically requests the big data product screen data to the user who purchased the data. .

When the user terminal 10 receives the special request for big data product screen data, the display device 12 displays a special request for big data product screen, as shown in Fig. 17 of the special request big data product screen of the present invention.

The user fills in the consumption in the fields of "selection of consumption category", "selection of consumption area", "selection consumption period" and "other conditions" in the special offer big data product screen displayed by the display device 12 by the input device 14. Information on special solicitation conditions for information on the region, the number of consumers, the type of consumption, the amount of consumption, the age of consumption, or the sex of consumption. Next, the user selects the option of "purchase special solicitation" in the special solicitation big data product screen displayed on the display device 12 by the input device 14, and the user terminal 10 transmits a purchase special solicitation request and special solicitation conditions. The data is sent to the big data valuation module 24.

After receiving the special solicitation request and the special solicitation condition data, the big data evaluation module 24 issues the special solicitation condition data to the user terminal 10 of all members, and the member who meets the special solicitation condition information is filled in by the input device 14. Invest in microdata and send the consumer microdata to the big data valuation module.

After receiving the consumption micro data from the user terminal having the member meeting the special solicitation condition data, the big data evaluation module temporarily stores each consumption micro data in the offer file and calculates the constituent big data product. The number of consumption microdata is based on the number of consumer microdata to evaluate the value of the big data commodity to obtain the big data value amount.

Next, an order quotation notification screen data is sent by the big data valuation module 24 to the user terminal 10. After receiving the order quotation notification screen data, the user terminal device 10 displays the order quotation notification screen by the display device 12, as shown in FIG. 18, which is shown in the order quotation notification screen of the present invention.

The user selects the "I want to see the order quotation" option on the order quotation notification screen displayed on the display device 12 by the input device 14 of the user terminal device 10, and the user terminal device 10 sends a request for an order quotation request. To the data collection and distribution system 20.

The big data valuation module 24 of the data collection and distribution system 20 sends an order content screen data to the user terminal 10 according to the order quotation request, and the order content screen data includes the number of the big data items and the value amount. After the user terminal 10 receives the order content screen data, the display device 12 displays the order content screen including the data of the number of big data products and the value amount for viewing by the user, as shown in FIG. 19, which is the order content screen of the present invention. Shown.

When the user wants to purchase the big data product, the user selects the option of "confirm purchase" on the order content screen displayed on the display device 12 by the input device 14 of the user terminal device 10, and the user terminal device 10 A confirmation purchase request is sent to the data collection and distribution system 20.

After receiving the confirmation purchase request sent by the user terminal 10 from the financial management module 26 of the data collection and distribution system 20, the financial management module 26 sends a payment screen data to the user terminal according to the confirmation purchase request. 10. After receiving the payment screen data, the user terminal 10 displays the payment screen by the display device 12, as shown in the payment screen of the present invention.

The user selects the "payment method" option on the payment screen displayed on the display device 12 by the input device 14 of the user terminal device 10 to select, for example, an online credit card payment or a financial institution transfer, etc., by means of the user. The input device 14 of the user terminal 10 selects the "receipt method" option on the payment screen displayed on the display device 12 to select a product key delivery, email or mobile phone newsletter, and then the user borrows The input device 14 of the user terminal 10 selects "transaction complete" on the payment screen displayed on the display device 12, and the user terminal 10 transmits a transaction completion request, a payment method, and a pickup method to the data. Collect and distribute the system 20.

After the financial management module 26 of the data collecting and distributing system 20 receives the transaction completion request, the payment method, and the picking method sent from the user terminal 10, the financial management module 26 confirms the completion of the payment of the golden stream, and the financial management module Group 26 transmits a payment completion message to the big data valuation module 24 (step S74).

The big data valuation module 24 transmits the big data item to the big data tabulation module 34 based on the payment completion message. The big data tabulation module 34 makes each piece of data (for example, input consumption area, consumption number, consumption type, consumption amount, consumption age or consumption gender) of each consumption micro data constituting the big data product in the offer file. The product analysis spreadsheet and a product analysis chart, and the product analysis spreadsheet and the product analysis chart are sent to the user terminal 10 to display the product analysis spreadsheet and the product analysis chart on the display device 12 for the user to analyze the study (step S76). Fig. 21 is a schematic view showing the commodity analysis spreadsheet of the present invention and Fig. 22 is a schematic view showing the commodity analysis chart of the present invention. The data in Figures 21 and 22 are for illustrative purposes and are not intended to limit the invention.

When the financial management module 26 confirms that the payment is completed, the financial management module 26 also transmits the big data value amount to the big data valuation module 24. The big data valuation module 24 calculates, according to the value of the big data value evaluated, a share of the share value obtained by each of the consumption micro data of the big data commodity, and stores the share value of the share into the supplier equity share model. The group 28 is provided in the corresponding personal equity account of each user who consumes the micro data (step S78). The user can refer to the personal equity account screen of FIG. 14 displayed on the display device 12 to view the value of the derivative rights generated by the vending microdata.

The method for customizing big data products and distributing data providers of the present invention can be completed in a program type, and the program can be stored in a computer readable recording medium, when the data collection and distribution system is After the recording medium is loaded into the program and executed, the method steps as shown in the above description and the drawings can be completed.

The above method for customizing big data products and distributing data providers of the present invention can be completed by storing a computer program product in a program, for example, after the data collection and distribution system downloads the program from the network and executes it, The method steps as illustrated in the above description and the drawings can be completed.

The invention provides a method for data customization and data provider separation, a data collection and distribution system, a computer readable recording medium and a computer program product, characterized in that a consumer can independently contribute micro data. Converging a large amount of micro data, accumulating a large amount of goods to generate big data goods, obtaining the status of a seller, participating in the big data commodity market activities and profiting accordingly.

The present invention has been described above with reference to the preferred embodiments and the accompanying drawings, and should not be considered as limiting. Various modifications, omissions and changes may be made without departing from the scope of the invention.

Claims (19)

 A method for customizing big data commodities and distributing data providers, which is applied to a data collection and distribution system, the method comprising the following steps: receiving, by a management module of the data collection and distribution system, from a use Sending a data purchase and sale request to the user terminal according to the data purchase and sale request; receiving, by the management module, a request for selling data from the user terminal, according to The selling data request sends a micro data to provide screen data to the user terminal; an equity computing module of the data collecting and distributing system receives one of the consumption microdata sent from the user terminal to verify the consumption. Whether the microdata conforms to one of the specified data data formats, and stores the consumer microdata in a personal microdata account of one of the data collection and management systems of the data collection and distribution system; the equity computing module will verify the The consumption microdata is classified according to a predetermined classification code, and the classified consumption microdata is stored in the data collection and distribution. a data sub-library of the corresponding classified micro-data in a plurality of data sub-libraries of a central data database; and the equity computing module evaluates the consumption micro-data to give an equity value, and The equity value is stored in one of the personal equity accounts of one of the supplier equity distribution modules of the data collection and distribution system.    The method of claim 1, wherein before the step of receiving, by the governance module, the data purchase and sale request sent by the user terminal, the method comprises the following steps: receiving, by the governance module, the sending from the user terminal a new member join request, sending a member term screen information to the user terminal according to the new member join request; receiving, by the governance module, an authorization message sent from the user terminal, and sending according to the authorization message a member registration screen data to the user terminal; and receiving, by the governance module, a member profile sent from the user terminal, verifying the member profile, and compiling a member number corresponding to the member profile, the member The number and its corresponding member profile are stored in one of the member databases of the data collection and distribution system.    The method of claim 2, wherein the member information includes a name, a date of birth, an identity card number, a gender, an address, a mobile phone number, and an email account number.    The method of claim 1, wherein after the step of evaluating the equity value by the equity computing module, the method includes the following steps: receiving, by the governance module, one of the ones sent from the user terminal a data request, according to the purchase data request, sending a large data commodity demand screen data to the user terminal; and receiving, by the data collection module of the data collection and distribution system, a commodity sent from the user terminal Retrieving condition data, searching for the consumption micro data in the central data database that meets the product feedback condition data, and calculating the number of the consumption micro data corresponding to the large data item, and the pen according to the consumption micro data Number of the value of the big data commodity to obtain a large amount of data value, and send the amount and value of the big data commodity to the user terminal; one of the data collection and distribution system financial management module Transmitting a payment completion message to the big data valuation module, and the big data evaluation module transmits the big data commodity according to the payment completion message To the data collection and distribution system, one of the big data tabulation modules; the big data tabulation module makes the data of the big data commodity into a commodity analysis trial calculation table and a commodity analysis chart, and sends the commodity analysis a trial balance and the commodity analysis chart to the user terminal; and calculating, by the big data valuation module, a share of the derivative income obtained by the consumption microdata constituting the big data commodity according to the evaluated value of the big data value And transmitting to the personal equity account of the corresponding consumer microdata of the supplier equity distribution module.    The method of claim 4, wherein the commodity feedback condition data is data of a consumption area, a consumption number, a consumption type, a consumption amount, a consumption age, and a consumption gender.    The method of claim 4, wherein a special solicitation condition is issued by the big data valuation module when searching for the number of the consumer microdata in the central data database that meets the commodity feedback condition data is too small or not And the data is sent to the user terminal, and the big data evaluation module receives the consumption micro data corresponding to the special solicitation condition data sent by the user terminal, wherein the special solicitation condition data is a consumption area, a consumption number, One or more of the categories of consumption, consumption amount, age of consumption, and gender of consumption.    The method of claim 1, wherein the consumption microdata sent from the user terminal is sent in a data format or a photo, the consumption microdata including consumption time, consumption location, consumption type, consumption content, and consumption amount. And many or all of the consumption quantities.    The method of claim 1, wherein the predetermined classification code is an International Commodity Unified Classification Code or a Republic of China Commodity Standard Classification Number.    A method for customizing big data commodities and distributing data providers, which is applied to a data collection and distribution system, the method comprising the following steps: receiving, by a management module of the data collection and distribution system, from a use The one of the data requests sent by the terminal device sends a large data commodity demand screen data to the user terminal according to the purchase data request; and the big data evaluation module of the data collection and distribution system receives the data from the use The product feedback condition data sent by the terminal device searches for the consumption micro data corresponding to one of the commodity feedback condition data in one of the central data database of the data collection and distribution system, and calculates a large data commodity that meets the composition The number of the consumption microdata is evaluated according to the number of the consumption microdata to obtain a large data value amount, and the number and value amount of the big data commodity are sent to the user terminal. a financial management module of the data collection and distribution system transmits a payment completion message to the big data evaluation module, by the large number According to the payment completion message, the valuation module transmits the big data commodity to one of the data collection and distribution system big data tabulation module; the big data tab module makes the data of the big data commodity into one a commodity analysis spreadsheet and a commodity analysis chart, sending the commodity analysis spreadsheet and the commodity analysis chart to the user terminal; and calculating, by the big data valuation module, the big data according to the evaluated value of the big data The share of the consumption microdata obtained by the consumer is transmitted to the personal equity account of the corresponding consumer microdata of the supplier equity distribution module of the data collection and distribution system.    The method of claim 9, wherein the commodity feedback condition data is information on a consumption area, a consumption number, a consumption type, a consumption amount, a consumption age, and a consumption gender.    The method of claim 9, wherein when the number of the consumer microdata that matches the commodity feedback condition data in the central data database is too small or not, a special solicitation condition is issued by the big data valuation module. And the data is sent to the user terminal, and the big data evaluation module receives the consumption micro data corresponding to the special solicitation condition data sent by the user terminal, wherein the special solicitation condition data is a consumption area, a consumption number, One or more of the categories of consumption, consumption amount, age of consumption, and gender of consumption.    The method of claim 9, wherein before the step of receiving, by the governance module, the purchase data request sent by the user terminal, the method comprises the following steps: receiving, by the governance module, the user terminal a new member join request, sending a member term screen information to the user terminal according to the new member join request; receiving, by the governance module, an authorization message sent from the user terminal, and sending according to the authorization message a member registration screen data to the user terminal; and receiving, by the governance module, a member profile sent from the user terminal, verifying the member profile, and compiling a member number corresponding to the member profile, the member The number and its corresponding member profile are stored in one of the member databases of the data collection and distribution system.    The method of claim 12, wherein the member profile includes a name, a date of birth, an identity card number, a gender, an address, a mobile phone number, and an email account number.    The method of claim 9, wherein before the step of receiving, by the governance module, the purchase data request sent by the user terminal, the method comprises the following steps: receiving, by the governance module, the user terminal a data purchase and sale request, sending a data purchase and sale screen data to the user terminal according to the data purchase and sale request; receiving, by the management module, a data request sent from the user terminal, and sending the data request according to the sales data request A microdata provides screen data to the user terminal; an equity computing module of the data collection and distribution system receives the consumption microdata sent from the user terminal to verify whether the consumption microdata meets the requirements a data data format, and storing the consumer micro data in a personal microdata account of one of the data collection and management systems of the data collection and distribution system; the consumer computing microdata according to the equity calculation module Predetermining the classification code for classification, and storing the classified consumption microdata in the plurality of data points of the central data database a data sub-library of the corresponding classified micro-data in the library; and the equity calculation module evaluates the consumption micro-data to give an equity value, and stores the equity value in the supplier equity distribution model The personal equity account of the group.    The method of claim 14, wherein the consumption microdata sent from the user terminal is sent in a data format or a photo, the consumption microdata including consumption time, consumption location, consumption type, consumption content, and consumption amount. And many or all of the consumption quantities.    The method of claim 14, wherein the predetermined classification code is an International Commodity Unified Classification Code or a Republic of China Commodity Standard Classification Number.    A data collection and distribution system includes a governance module, an equity calculation module, a central data database, a large data evaluation module, a supplier equity distribution module, a financial management module, and a The Big Data Tabulation Module, the data collection and distribution system implements the method of customizing big data products and distributing data providers according to any one of claims 1 to 16.    A computer-readable recording medium storing a program, when a data collection and distribution system is loaded into the program and executed, the customization of the big data products and the data provider according to claims 1 to 16 can be completed. Run method.    A computer program product for storing a program, when a data collection and distribution system is loaded into the program and executed, the method for customizing big data products and distributing data providers according to claims 1 to 16 can be completed.